@techreport{oai:ipsj.ixsq.nii.ac.jp:00142472,
 author = {熊谷, 雄介 and 今井, 良太 and 松林, 達史 and 佐藤, 吉秀 and 堀岡, 力 and Yusuke, Kumagae and Ryota, Imai and Tatsushi, Matsubayashi and Yoshihide, Sato and Tsutomu, Horioka},
 issue = {3},
 month = {Jun},
 note = {旅行客にその土地での観光を楽しんでもらうために，彼らの行動を分析し，どのような行動を取るのか，その行動をもたらす要因は何なのか，どのような情報を提示すべきなのかを理解・予測することは非常に重要なタスクである．今回我々は，スマートフオンアプリから得られる様々な情報にもとづき，福岡市を中心とした外国人観光客の回遊行動を，非負値複合テンソル因子分解 （NMTF） を用いて分析を行った．その結果，時空間情報および利用者属性に強く依存する回遊パターンが抽出されることが確認できた．, To have tourists enjoy the sightseeing, it is important for the information provider to grasp the aim of tour and to understand the tendencies of the tourist behaviors and interest. For the recommendation service, the provided information should be distributed the appropriate contents at the appropriate time to the tourists based on her aim and interest. In this research, we analyze the GPS trajectory log and user attributions obtained by the smart-phone application which is available at the Kyushu region. By using Non-negative Multiple Tensor Factorization (NMTF), we factorized the tourist behavior tendencies by the nationality, gender, generation, hours and the users geographic location. As a results, we observed some certain behaviors to the peculiar user's cluster.},
 title = {非負値複合テンソル因子分解を用いた訪日外国人観光客の回遊行動分析},
 year = {2015}
}